Yasser Perera
Impact in
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- Protein Kinase Regulation and GTPase Signaling
- Advanced biosensing and bioanalysis techniques
- PI3K/AKT/mTOR signaling in cancer
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- Ubiquitin and proteasome pathways
- Microbiology top 10%
Papers in
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- Ubiquitin and proteasome pathways 5
- Protein Kinase Regulation and GTPase Signaling 4
- PI3K/AKT/mTOR signaling in cancer 4
- Glycosylation and Glycoproteins Research 3
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- SARS-CoV-2 and COVID-19 Research 8
- Viral gastroenteritis research and epidemiology 4
- Co-authors
- Silvio E. Perea (26 shared papers)Hernán G. Fariña (10 shared papers)Boris Acevedo (6 shared papers)Daniel F. Alonso (8 shared papers)Marta Ayala (2 shared papers)Jorge Gavilondo (2 shared papers)Roberto Gómez (4 shared papers)Gertrudis Rojas (1 shared paper)
In The Last Decade
Yasser Perera
47 papers receiving 676 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 488
- Microbiology 39
- Hematology 55
- Oncology 113
- Immunology 78
Countries citing papers authored by Yasser Perera
This map shows the geographic impact of Yasser Perera's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yasser Perera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasser Perera more than expected).
Fields of papers citing papers by Yasser Perera
This network shows the impact of papers produced by Yasser Perera. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yasser Perera. The network helps show where Yasser Perera may publish in the future.
Co-authors
The 25 scholars most cited alongside Yasser Perera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 91 | |
| 2 | 2009 | 47 | |
| 3 | 2007 | 47 | |
| 4 | 2018 | 40 | |
| 5 | 2016 | 35 | |
| 6 | 2013 | 31 | |
| 7 | 2020 | 30 | |
| 8 | 2020 | 24 | |
| 9 | 2014 | 23 | |
| 10 | 2012 | 22 | |
| 11 | 2010 | 22 | |
| 12 | 2011 | 19 | |
| 13 | 2009 | 19 | |
| 14 | 2020 | 17 | |
| 15 | 2014 | 17 | |
| 16 | 2018 | 17 | |
| 17 | 2021 | 14 | |
| 18 | 2018 | 12 | |
| 19 | 2006 | 12 | |
| 20 | 2021 | 10 |
About Yasser Perera
Yasser Perera is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Hematology and Epidemiology, having authored 50 papers that have together received 684 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Ubiquitin and proteasome pathways (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Bacterial Infections and Vaccines (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Molecular Biology (488 citations), Microbiology (39 citations), Hematology (55 citations), Oncology (113 citations) and Immunology (78 citations). Yasser Perera has collaborated with scholars based in Cuba, Argentina and China. Frequent co-authors include Silvio E. Perea, Hernán G. Fariña, Boris Acevedo, Daniel F. Alonso, Marta Ayala, Jorge Gavilondo, Roberto Gómez, Gertrudis Rojas, Yadira Lobaina and Daniel E. Gómez. Their work appears in journals such as Viruses, Scientific Reports, Journal of Peptide Science, Biomedicines and Molecular and Cellular Biochemistry.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.